Consistency for the Tree Bootstrap in Respondent-driven Sampling
Overview
Overview
Journal
Biometrika
Publisher
Oxford University Press
Specialty
Public Health
Date
2020 May 27
PMID
32454530
Authors
Authors
Affiliations
Affiliations
Soon will be listed here.
Abstract
Respondent-driven sampling is an approach for estimating features of populations that are difficult to access using standard survey tools, e.g., the fraction of injection drug users who are HIV positive. Baraff et al. (2016) introduced an approach to estimating uncertainty in population proportion estimates from respondent-driven sampling using the tree bootstrap method. In this paper we establish the consistency of this tree bootstrap approach in the case of [Formula: see text]-trees.
References
1.
Goel S, Salganik M
. Assessing respondent-driven sampling. Proc Natl Acad Sci U S A. 2010; 107(15):6743-7.
PMC: 2872407.
DOI: 10.1073/pnas.1000261107.
View
2.
Gile K, Handcock M
. Respondent-Driven Sampling: An Assessment of Current Methodology. Sociol Methodol. 2012; 40(1):285-327.
PMC: 3437336.
DOI: 10.1111/j.1467-9531.2010.01223.x.
View
3.
Crawford F
. THE GRAPHICAL STRUCTURE OF RESPONDENT-DRIVEN SAMPLING. Sociol Methodol. 2019; 46(1):187-211.
PMC: 6788810.
DOI: 10.1177/0081175016641713.
View
4.
Baraff A, McCormick T, Raftery A
. Estimating uncertainty in respondent-driven sampling using a tree bootstrap method. Proc Natl Acad Sci U S A. 2016; 113(51):14668-14673.
PMC: 5187726.
DOI: 10.1073/pnas.1617258113.
View
5.
Gile K, Handcock M
. Network Model-Assisted Inference from Respondent-Driven Sampling Data. J R Stat Soc Ser A Stat Soc. 2015; 178(3):619-639.
PMC: 4669074.
DOI: 10.1111/rssa.12091.
View